Noida Sector 62 Noida Uttar Pradesh Computer scientist Jobs – 98 Open Jobs Today

Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
7h
Lead AI/ML Engineer
Optum —Noida, Uttar Pradesh
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
AI LLM Technology Architecture Manager
Accenture —Noida, Uttar Pradesh
- Full-time
- Research
- Master's degree
- Analysis skills
Data Engineer
RxLogix —Noida, Uttar Pradesh
- Azure
- Oracle
- Computer Science
Lead Assistant Manager - Azure Data Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- DevOps
7d
Computer Scientist II
Adobe —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Java
- Work from home
2d
Senior CAD Technician – Protection & Control
WSP —Noida, Uttar Pradesh
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
10d
Cloud Data Engineer
CG Infinity —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Salesforce
Senior Program Officer (Education)
Wadhwani AI —South East District, Delhi
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
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Computer Scientist I
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Java
3d
CodersArts Research
CodersArts —Noida, Uttar Pradesh
- Doctoral degree
- Computer Science
- Research
Data Scientist Lead
RxLogix —Noida, Uttar Pradesh
- Doctoral degree
- Computer Science
- Master's degree
Computer Scientist (Fullstack - UI Heavy)
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- System design
- AWS
Lead Assistant Manager-Application Development-Applications Development Engineering
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Java
- Master's degree
Manager - Azure Data Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- DevOps
7d
Computer Scientist
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer science
- Computer Science
- Master's degree
3d
Lead Engineer - Application Support 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Weekend availability
- Microsoft Access
- Azure
- Computer Science
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Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
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8h
Senior AI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Engineering
Lead Analyst - Business Data Services 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Oracle
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Senior Data Engineer – GenAI & Unstructured Data Pipelines

WebSenor InfoTech -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
7 hours ago

Qualifications

CI/CD
Azure
Cloud architecture
Law
Computer Science
Spark
Git
Master's degree
Application development
Databases
SQL
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
Agile
JSON
Apache
Kafka
AI
Communication skills
Python
Information Technology

Full job description

Job Title: Senior Data Engineer – GenAI & Unstructured Data Pipelines

Experience: 6–8 Years
Location: Offshore (2 Positions)
Employment Type: Full-Time

Job Summary

We are seeking an experienced Senior Data Engineer to build and optimize next-generation data platforms that power Generative AI and Large Language Model (LLM) applications. The ideal candidate will have strong expertise in designing scalable data pipelines for structured, unstructured, and multi-modal data while enabling Retrieval-Augmented Generation (RAG), vector search, embeddings, and AI-powered copilots.

This role requires hands-on experience in modern data engineering, Azure cloud technologies, MLOps, and GenAI workflows to develop production-grade AI data platforms and intelligent applications.

Key Responsibilities

Design, develop, and maintain scalable data pipelines for structured, unstructured, and multi-modal datasets.
Own the end-to-end machine learning lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and rollback.
Build and manage production-grade ML pipelines using Azure-native services with CI/CD automation and MLOps best practices.
Utilize Azure Machine Learning and MLflow for experiment tracking, model registry, versioning, and governed model deployment across development, testing, and production environments.
Design and implement Generative AI solutions using Azure OpenAI, embeddings, Retrieval-Augmented Generation (RAG), and vector search technologies.
Develop Agentic AI workflows with multi-step reasoning, tool integration, guardrails, observability, reliability, and cost optimization.
Build scalable batch and real-time data processing pipelines using Azure Databricks, Apache Spark, and Kafka.
Develop robust ingestion pipelines for text, documents, PDFs, logs, JSON, and other unstructured data sources.
Design and optimize RAG pipelines including document chunking, embedding generation, indexing, and semantic retrieval.
Implement and manage vector databases and vector search platforms such as Azure AI Search and Pinecone.
Collaborate with data scientists, AI engineers, and application teams to deliver scalable AI-ready data platforms.
Monitor pipeline performance, data quality, scalability, and system reliability while implementing continuous improvements.
Follow DevOps, MLOps, and Agile best practices for secure and automated deployments.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
6–8 years of experience in Data Engineering with expertise in large-scale data processing.
Strong programming skills in Python, PySpark, and SQL.
Hands-on experience with:
Apache Spark
Apache Airflow
Apache Kafka
Azure Databricks
Experience building batch and streaming data pipelines.
Strong experience processing unstructured and semi-structured data including JSON, logs, documents, PDFs, and other text-based content.
Experience with cloud platforms, preferably Microsoft Azure.
Exposure to Azure Machine Learning, MLflow, and MLOps practices.
Hands-on experience with Generative AI concepts including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Embeddings
Vector Databases
Semantic Search
Experience with vector search platforms such as Azure AI Search, Pinecone, or similar technologies.
Understanding of CI/CD pipelines, automation, monitoring, and production deployment strategies.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with Azure OpenAI Service and AI-powered application development.
Knowledge of Agentic AI architectures and AI orchestration frameworks.
Experience working with multi-modal data pipelines and AI copilots.
Familiarity with data governance, security, and cloud architecture best practices.
Experience working in Agile development environments.
Azure Data Engineering, Databricks, or Azure AI certifications are a plus.

Preferred Technologies

Python
PySpark
SQL
Apache Spark
Apache Airflow
Apache Kafka
Azure Databricks
Azure Machine Learning
MLflow
Azure OpenAI
Azure AI Search
Pinecone
Vector Databases
Retrieval-Augmented Generation (RAG)
Embeddings
Large Language Models (LLMs)
CI/CD
Git
Docker
Azure DevOps

This role is ideal for data engineering professionals who are passionate about building scalable GenAI data platforms, enabling enterprise AI applications, and delivering production-ready data pipelines that power next-generation intelligent solutions.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

Quick apply

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computer scientist jobs in noida sector 62 noida uttar pradesh

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